In the actual production of fully automatic glove picking, sorting, and counting machines, the detection of black gloves has always been a recognized "big problem" - the glove surface is dark and absorbs light, the shape is irregular, the gaps are narrow, the dust is diffuse, and it runs at high speed
Faced with these layered detection obstacles, conventional photoelectric sensors often struggle to cope, resulting in frequent misjudgments and missed detections, seriously affecting the efficiency and accuracy of the production line.
In this issue, Xiaoming shares how Meiji Sensing customized a small spot laser sensor for customers in such scenarios to detect black gloves on a fully automatic picking and sorting counting machine.
Application scenario
The fully automatic picking and sorting counting machine of a glove manufacturing enterprise needs to detect the presence of black gloves in real time and count them. Seemingly simple tasks encounter multiple obstacles in actual operation.
Difficulty analysis
Material and color: dark black, irregular, with curved surface, extremely low reflectivity. Conventional optoelectronics are difficult to trigger stably due to large black and white differences.
Narrow gap: During the flow of gloves, the distance between each other is very small, and the light spot of ordinary optoelectronics is large, which can easily "illuminate one piece at a time" and lead to misjudgment.
Dust environment: There is a lot of dust in the workshop, and it is required that the sensor light source has a certain penetration ability, otherwise the beam attenuation will be fast and the detection will fail.
High speed movement: Gloves have a fast conveying speed and a response frequency of at least 500Hz, otherwise the signal cannot be grasped.
Customized Solutions
In response to the above pain points, Meiji has launched a customized version of the small spot laser sensor ELE-BS15NRS20, with core parameters including:
🔍 Customized small spot laser light source
At a detection distance of 100mm, the diameter of the light spot is ≤ 1mm
Accurately identify small differences in black gloves (such as curved surfaces, wrinkles, etc.)
Effectively solve the problem of missed detections caused by low reflectivity of dark black color
⚙️ Background suppression algorithm
Adopting dynamic threshold adjustment+noise filtering
Clearly distinguish the edges of gloves from complex backgrounds such as dark conveyor belts and accumulated dust
To avoid accidental triggering and ensure accurate counting
⚡ High speed data processing
Response frequency ≥ 500Hz
Match the rhythm of high-speed production lines, without missing or lagging
Application Effect
✅ Background suppression effectively distinguishes glove edges from complex backgrounds (such as dark conveyor belts or dust accumulation) through dynamic threshold adjustment and noise filtering, reducing false detection rates, ensuring counting accuracy>99%, and reducing overall costs
✅ Reduce manual intervention: Fully automated detection replaces manual visual inspection, saving more than 90% of quality inspection labor costs and avoiding human counting errors (usually 3% to 5% manual error rate).
✅ Sealed optical module design (IP67 protection) and dust resistance effectively reduce the failure rate caused by lens contamination
If you also face similar testing difficulties, please feel free to communicate with us! We will provide you with targeted solutions to help your production line steadily move towards intelligent upgrading!
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